https://github.com/andre-dietrich/SelectScript_ODE
Reasoning in complex environments with the SelectScript declarative language
Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anilakash/indkgc
https://github.com/ansuini/IntrinsicDimDeep
https://github.com/ant-louis/xm-retrievers
https://github.com/anuragreddygv323/Important-stuff
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/apacha/OMR-Datasets
Optical Music Recognition with Convolutional Sequence-to-Sequence Models
https://github.com/arvind385801/paraphrasegen
https://github.com/atharva20038/music4all
https://github.com/avsolatorio/gistembed
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
https://github.com/awni00/abstract_transformer
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
https://github.com/bailuding/rails
https://github.com/basf/chemteb
https://github.com/berlincho/RGCN-pytorch
https://github.com/bianzheng123/multi-vector-retrieval
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings
https://github.com/bkj/simple_las
https://github.com/bmitra-msft/NDRM
Learning to Match Using Local and Distributed Representations of Text for Web Search
https://github.com/bmitra-msft/TREC-Deep-Learning-Quick-Start
https://github.com/boyiwei/tar-reproduce
https://github.com/bpiyush/SoundOfWater
https://github.com/carrliitos/NLPInformationExtraction
https://github.com/castorini/pygaggle
https://github.com/castorini/ragnarok
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
https://github.com/cerebroai/AskIt
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction
https://github.com/christofs/sentlens
https://github.com/cipnlu/InformationExtraction
https://github.com/climsocana/tecb-de
https://github.com/cmacdonald/pyt_jpq
Declarative Experimentation in Information Retrieval using PyTerrier
https://github.com/code-desc/codesc
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/conceptofmind/LaMDA-pytorch
https://github.com/conceptofmind/lamda-rlhf-pytorch
https://github.com/conda-forge/bm25s-feedstock
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
https://github.com/craftjarvis/rat
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
https://github.com/csebuetnlp/CoDesc
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/cwida/pdx
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval
https://github.com/cwitkowitz/guitar-transcription-continuous
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.